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304 lines
14 KiB
304 lines
14 KiB
5 months ago
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__all__: list[str] = []
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import cv2
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import cv2.typing
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import typing as _typing
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# Enumerations
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CORNER_REFINE_NONE: int
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CORNER_REFINE_SUBPIX: int
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CORNER_REFINE_CONTOUR: int
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CORNER_REFINE_APRILTAG: int
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CornerRefineMethod = int
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"""One of [CORNER_REFINE_NONE, CORNER_REFINE_SUBPIX, CORNER_REFINE_CONTOUR, CORNER_REFINE_APRILTAG]"""
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DICT_4X4_50: int
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DICT_4X4_100: int
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DICT_4X4_250: int
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DICT_4X4_1000: int
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DICT_5X5_50: int
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DICT_5X5_100: int
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DICT_5X5_250: int
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DICT_5X5_1000: int
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DICT_6X6_50: int
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DICT_6X6_100: int
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DICT_6X6_250: int
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DICT_6X6_1000: int
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DICT_7X7_50: int
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DICT_7X7_100: int
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DICT_7X7_250: int
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DICT_7X7_1000: int
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DICT_ARUCO_ORIGINAL: int
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DICT_APRILTAG_16h5: int
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DICT_APRILTAG_16H5: int
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DICT_APRILTAG_25h9: int
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DICT_APRILTAG_25H9: int
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DICT_APRILTAG_36h10: int
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DICT_APRILTAG_36H10: int
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DICT_APRILTAG_36h11: int
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DICT_APRILTAG_36H11: int
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DICT_ARUCO_MIP_36h12: int
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DICT_ARUCO_MIP_36H12: int
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PredefinedDictionaryType = int
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"""One of [DICT_4X4_50, DICT_4X4_100, DICT_4X4_250, DICT_4X4_1000, DICT_5X5_50, DICT_5X5_100, DICT_5X5_250, DICT_5X5_1000, DICT_6X6_50, DICT_6X6_100, DICT_6X6_250, DICT_6X6_1000, DICT_7X7_50, DICT_7X7_100, DICT_7X7_250, DICT_7X7_1000, DICT_ARUCO_ORIGINAL, DICT_APRILTAG_16h5, DICT_APRILTAG_16H5, DICT_APRILTAG_25h9, DICT_APRILTAG_25H9, DICT_APRILTAG_36h10, DICT_APRILTAG_36H10, DICT_APRILTAG_36h11, DICT_APRILTAG_36H11, DICT_ARUCO_MIP_36h12, DICT_ARUCO_MIP_36H12]"""
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# Classes
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class Board:
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# Functions
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@_typing.overload
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def __init__(self, objPoints: _typing.Sequence[cv2.typing.MatLike], dictionary: Dictionary, ids: cv2.typing.MatLike) -> None: ...
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@_typing.overload
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def __init__(self, objPoints: _typing.Sequence[cv2.UMat], dictionary: Dictionary, ids: cv2.UMat) -> None: ...
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def getDictionary(self) -> Dictionary: ...
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def getObjPoints(self) -> _typing.Sequence[_typing.Sequence[cv2.typing.Point3f]]: ...
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def getIds(self) -> _typing.Sequence[int]: ...
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def getRightBottomCorner(self) -> cv2.typing.Point3f: ...
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@_typing.overload
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def matchImagePoints(self, detectedCorners: _typing.Sequence[cv2.typing.MatLike], detectedIds: cv2.typing.MatLike, objPoints: cv2.typing.MatLike | None = ..., imgPoints: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike]: ...
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@_typing.overload
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def matchImagePoints(self, detectedCorners: _typing.Sequence[cv2.UMat], detectedIds: cv2.UMat, objPoints: cv2.UMat | None = ..., imgPoints: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat]: ...
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@_typing.overload
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def generateImage(self, outSize: cv2.typing.Size, img: cv2.typing.MatLike | None = ..., marginSize: int = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
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@_typing.overload
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def generateImage(self, outSize: cv2.typing.Size, img: cv2.UMat | None = ..., marginSize: int = ..., borderBits: int = ...) -> cv2.UMat: ...
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class GridBoard(Board):
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# Functions
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@_typing.overload
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def __init__(self, size: cv2.typing.Size, markerLength: float, markerSeparation: float, dictionary: Dictionary, ids: cv2.typing.MatLike | None = ...) -> None: ...
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@_typing.overload
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def __init__(self, size: cv2.typing.Size, markerLength: float, markerSeparation: float, dictionary: Dictionary, ids: cv2.UMat | None = ...) -> None: ...
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def getGridSize(self) -> cv2.typing.Size: ...
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def getMarkerLength(self) -> float: ...
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def getMarkerSeparation(self) -> float: ...
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class CharucoBoard(Board):
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# Functions
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@_typing.overload
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def __init__(self, size: cv2.typing.Size, squareLength: float, markerLength: float, dictionary: Dictionary, ids: cv2.typing.MatLike | None = ...) -> None: ...
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@_typing.overload
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def __init__(self, size: cv2.typing.Size, squareLength: float, markerLength: float, dictionary: Dictionary, ids: cv2.UMat | None = ...) -> None: ...
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def setLegacyPattern(self, legacyPattern: bool) -> None: ...
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def getLegacyPattern(self) -> bool: ...
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def getChessboardSize(self) -> cv2.typing.Size: ...
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def getSquareLength(self) -> float: ...
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def getMarkerLength(self) -> float: ...
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def getChessboardCorners(self) -> _typing.Sequence[cv2.typing.Point3f]: ...
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@_typing.overload
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def checkCharucoCornersCollinear(self, charucoIds: cv2.typing.MatLike) -> bool: ...
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@_typing.overload
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def checkCharucoCornersCollinear(self, charucoIds: cv2.UMat) -> bool: ...
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class DetectorParameters:
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adaptiveThreshWinSizeMin: int
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adaptiveThreshWinSizeMax: int
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adaptiveThreshWinSizeStep: int
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adaptiveThreshConstant: float
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minMarkerPerimeterRate: float
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maxMarkerPerimeterRate: float
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polygonalApproxAccuracyRate: float
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minCornerDistanceRate: float
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minDistanceToBorder: int
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minMarkerDistanceRate: float
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minGroupDistance: float
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cornerRefinementMethod: int
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cornerRefinementWinSize: int
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relativeCornerRefinmentWinSize: float
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cornerRefinementMaxIterations: int
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cornerRefinementMinAccuracy: float
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markerBorderBits: int
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perspectiveRemovePixelPerCell: int
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perspectiveRemoveIgnoredMarginPerCell: float
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maxErroneousBitsInBorderRate: float
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minOtsuStdDev: float
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errorCorrectionRate: float
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aprilTagQuadDecimate: float
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aprilTagQuadSigma: float
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aprilTagMinClusterPixels: int
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aprilTagMaxNmaxima: int
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aprilTagCriticalRad: float
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aprilTagMaxLineFitMse: float
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aprilTagMinWhiteBlackDiff: int
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aprilTagDeglitch: int
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detectInvertedMarker: bool
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useAruco3Detection: bool
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minSideLengthCanonicalImg: int
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minMarkerLengthRatioOriginalImg: float
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# Functions
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def __init__(self) -> None: ...
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def readDetectorParameters(self, fn: cv2.FileNode) -> bool: ...
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def writeDetectorParameters(self, fs: cv2.FileStorage, name: str = ...) -> bool: ...
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class RefineParameters:
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minRepDistance: float
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errorCorrectionRate: float
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checkAllOrders: bool
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# Functions
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def __init__(self, minRepDistance: float = ..., errorCorrectionRate: float = ..., checkAllOrders: bool = ...) -> None: ...
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def readRefineParameters(self, fn: cv2.FileNode) -> bool: ...
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def writeRefineParameters(self, fs: cv2.FileStorage, name: str = ...) -> bool: ...
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class ArucoDetector(cv2.Algorithm):
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# Functions
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def __init__(self, dictionary: Dictionary = ..., detectorParams: DetectorParameters = ..., refineParams: RefineParameters = ...) -> None: ...
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@_typing.overload
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def detectMarkers(self, image: cv2.typing.MatLike, corners: _typing.Sequence[cv2.typing.MatLike] | None = ..., ids: cv2.typing.MatLike | None = ..., rejectedImgPoints: _typing.Sequence[cv2.typing.MatLike] | None = ...) -> tuple[_typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike]]: ...
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@_typing.overload
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def detectMarkers(self, image: cv2.UMat, corners: _typing.Sequence[cv2.UMat] | None = ..., ids: cv2.UMat | None = ..., rejectedImgPoints: _typing.Sequence[cv2.UMat] | None = ...) -> tuple[_typing.Sequence[cv2.UMat], cv2.UMat, _typing.Sequence[cv2.UMat]]: ...
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@_typing.overload
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def refineDetectedMarkers(self, image: cv2.typing.MatLike, board: Board, detectedCorners: _typing.Sequence[cv2.typing.MatLike], detectedIds: cv2.typing.MatLike, rejectedCorners: _typing.Sequence[cv2.typing.MatLike], cameraMatrix: cv2.typing.MatLike | None = ..., distCoeffs: cv2.typing.MatLike | None = ..., recoveredIdxs: cv2.typing.MatLike | None = ...) -> tuple[_typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
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@_typing.overload
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def refineDetectedMarkers(self, image: cv2.UMat, board: Board, detectedCorners: _typing.Sequence[cv2.UMat], detectedIds: cv2.UMat, rejectedCorners: _typing.Sequence[cv2.UMat], cameraMatrix: cv2.UMat | None = ..., distCoeffs: cv2.UMat | None = ..., recoveredIdxs: cv2.UMat | None = ...) -> tuple[_typing.Sequence[cv2.UMat], cv2.UMat, _typing.Sequence[cv2.UMat], cv2.UMat]: ...
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def getDictionary(self) -> Dictionary: ...
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def setDictionary(self, dictionary: Dictionary) -> None: ...
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def getDetectorParameters(self) -> DetectorParameters: ...
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def setDetectorParameters(self, detectorParameters: DetectorParameters) -> None: ...
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def getRefineParameters(self) -> RefineParameters: ...
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def setRefineParameters(self, refineParameters: RefineParameters) -> None: ...
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def write(self, fs: cv2.FileStorage, name: str) -> None: ...
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def read(self, fn: cv2.FileNode) -> None: ...
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class Dictionary:
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bytesList: cv2.typing.MatLike
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markerSize: int
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maxCorrectionBits: int
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# Functions
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@_typing.overload
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def __init__(self) -> None: ...
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@_typing.overload
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def __init__(self, bytesList: cv2.typing.MatLike, _markerSize: int, maxcorr: int = ...) -> None: ...
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def readDictionary(self, fn: cv2.FileNode) -> bool: ...
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def writeDictionary(self, fs: cv2.FileStorage, name: str = ...) -> None: ...
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def identify(self, onlyBits: cv2.typing.MatLike, maxCorrectionRate: float) -> tuple[bool, int, int]: ...
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@_typing.overload
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def getDistanceToId(self, bits: cv2.typing.MatLike, id: int, allRotations: bool = ...) -> int: ...
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@_typing.overload
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def getDistanceToId(self, bits: cv2.UMat, id: int, allRotations: bool = ...) -> int: ...
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@_typing.overload
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def generateImageMarker(self, id: int, sidePixels: int, _img: cv2.typing.MatLike | None = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
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@_typing.overload
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def generateImageMarker(self, id: int, sidePixels: int, _img: cv2.UMat | None = ..., borderBits: int = ...) -> cv2.UMat: ...
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@staticmethod
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def getByteListFromBits(bits: cv2.typing.MatLike) -> cv2.typing.MatLike: ...
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@staticmethod
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def getBitsFromByteList(byteList: cv2.typing.MatLike, markerSize: int) -> cv2.typing.MatLike: ...
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class CharucoParameters:
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cameraMatrix: cv2.typing.MatLike
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distCoeffs: cv2.typing.MatLike
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minMarkers: int
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tryRefineMarkers: bool
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# Functions
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def __init__(self) -> None: ...
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class CharucoDetector(cv2.Algorithm):
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# Functions
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def __init__(self, board: CharucoBoard, charucoParams: CharucoParameters = ..., detectorParams: DetectorParameters = ..., refineParams: RefineParameters = ...) -> None: ...
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def getBoard(self) -> CharucoBoard: ...
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def setBoard(self, board: CharucoBoard) -> None: ...
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def getCharucoParameters(self) -> CharucoParameters: ...
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def setCharucoParameters(self, charucoParameters: CharucoParameters) -> None: ...
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def getDetectorParameters(self) -> DetectorParameters: ...
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def setDetectorParameters(self, detectorParameters: DetectorParameters) -> None: ...
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def getRefineParameters(self) -> RefineParameters: ...
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def setRefineParameters(self, refineParameters: RefineParameters) -> None: ...
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@_typing.overload
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def detectBoard(self, image: cv2.typing.MatLike, charucoCorners: cv2.typing.MatLike | None = ..., charucoIds: cv2.typing.MatLike | None = ..., markerCorners: _typing.Sequence[cv2.typing.MatLike] | None = ..., markerIds: cv2.typing.MatLike | None = ...) -> tuple[cv2.typing.MatLike, cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
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@_typing.overload
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def detectBoard(self, image: cv2.UMat, charucoCorners: cv2.UMat | None = ..., charucoIds: cv2.UMat | None = ..., markerCorners: _typing.Sequence[cv2.UMat] | None = ..., markerIds: cv2.UMat | None = ...) -> tuple[cv2.UMat, cv2.UMat, _typing.Sequence[cv2.UMat], cv2.UMat]: ...
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@_typing.overload
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def detectDiamonds(self, image: cv2.typing.MatLike, diamondCorners: _typing.Sequence[cv2.typing.MatLike] | None = ..., diamondIds: cv2.typing.MatLike | None = ..., markerCorners: _typing.Sequence[cv2.typing.MatLike] | None = ..., markerIds: cv2.typing.MatLike | None = ...) -> tuple[_typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike, _typing.Sequence[cv2.typing.MatLike], cv2.typing.MatLike]: ...
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@_typing.overload
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def detectDiamonds(self, image: cv2.UMat, diamondCorners: _typing.Sequence[cv2.UMat] | None = ..., diamondIds: cv2.UMat | None = ..., markerCorners: _typing.Sequence[cv2.UMat] | None = ..., markerIds: cv2.UMat | None = ...) -> tuple[_typing.Sequence[cv2.UMat], cv2.UMat, _typing.Sequence[cv2.UMat], cv2.UMat]: ...
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# Functions
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@_typing.overload
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def drawDetectedCornersCharuco(image: cv2.typing.MatLike, charucoCorners: cv2.typing.MatLike, charucoIds: cv2.typing.MatLike | None = ..., cornerColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
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@_typing.overload
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def drawDetectedCornersCharuco(image: cv2.UMat, charucoCorners: cv2.UMat, charucoIds: cv2.UMat | None = ..., cornerColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
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@_typing.overload
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def drawDetectedDiamonds(image: cv2.typing.MatLike, diamondCorners: _typing.Sequence[cv2.typing.MatLike], diamondIds: cv2.typing.MatLike | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
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@_typing.overload
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def drawDetectedDiamonds(image: cv2.UMat, diamondCorners: _typing.Sequence[cv2.UMat], diamondIds: cv2.UMat | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
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@_typing.overload
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def drawDetectedMarkers(image: cv2.typing.MatLike, corners: _typing.Sequence[cv2.typing.MatLike], ids: cv2.typing.MatLike | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.typing.MatLike: ...
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@_typing.overload
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def drawDetectedMarkers(image: cv2.UMat, corners: _typing.Sequence[cv2.UMat], ids: cv2.UMat | None = ..., borderColor: cv2.typing.Scalar = ...) -> cv2.UMat: ...
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def extendDictionary(nMarkers: int, markerSize: int, baseDictionary: Dictionary = ..., randomSeed: int = ...) -> Dictionary: ...
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@_typing.overload
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def generateImageMarker(dictionary: Dictionary, id: int, sidePixels: int, img: cv2.typing.MatLike | None = ..., borderBits: int = ...) -> cv2.typing.MatLike: ...
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@_typing.overload
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def generateImageMarker(dictionary: Dictionary, id: int, sidePixels: int, img: cv2.UMat | None = ..., borderBits: int = ...) -> cv2.UMat: ...
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def getPredefinedDictionary(dict: int) -> Dictionary: ...
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